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Store · camera 34

Hands up

09:41:04

Store · camera 3409:41:04
Without OmniperceptWith Omnipercept
Demo · Generated scene. Left, the camera; right, the product. "Hands up" is the dedicated model's actual detection; reticles and pose come from the detector. The alert is an example configuration.

Analytics at the edge

What a camera sees, at the site.

Analyze at the site, without internet, alongside CCTV. People, vehicles and visual signs the operator can review, with rules and models calibrated on your own cameras.

What to review

Visual signs for a human decision.

Each sign is detected by a dedicated model on the site node. It is calibrated on your cameras and reaches the operator for review.

Store · camera 21

Person down

12:39:11

Store · camera 2112:39:11

Person down

The edge pose model recognizes a person lying down and opens the review with the segment.

Street · camera 04

Hands up

15:33:22

Street · camera 0415:33:22

Hands up

The edge pose model distinguishes both raised hands without sending video off site.

Branch · camera 13

Fire

17:51:51

Branch · camera 1317:51:51

Smoke and fire

A dedicated edge smoke-and-fire model detects the sign in the image, before a sensor confirms it.

Parking · camera 13

Weapon

08:59:03

Parking · camera 1308:59:03

Visible weapon

The dedicated edge visible-weapon model marks the object for the operator to confirm.

Street · camera 16

Face covered

16:21:38

Street · camera 1616:21:38

Face covered

The edge face-covered model flags balaclavas and helmets at the entrance according to the site rule.

Exterior branch entrance

Loitering · 4 min

16:17:46

Exterior branch entrance16:17:46

Loitering

The edge tracking model measures dwell time in the zone and warns when it exceeds the agreed time.

Demonstration · Generated scenes drawn by the product overlay. The event label is the dedicated model’s actual detection; on "Loitering" and on any supporting bank scene, it is a scene annotation.

Edge cases

More scenes.

Store · camera 39

Person down

10:15:33

Store · camera 3910:15:33
Parking · camera 22

Hands up

08:05:18

Parking · camera 2208:05:18
Branch · camera 37

Fire

17:28:29

Branch · camera 3717:28:29
Store · camera 28

Weapon

08:52:32

Store · camera 2808:52:32
Store · camera 03

Face covered

14:56:19

Store · camera 0314:56:19
Waiting room
Waiting room17:58:22
Store · camera 25

Person down

10:04:07

Store · camera 2510:04:07
Branch lobby

Hands up

18:26:42

Branch lobby18:26:42
Branch entrance
Branch entrance12:22:02
Branch service area

Person down

08:08:28

Branch service area08:08:28
Pawn · camera 27

Face covered

18:44:07

Pawn · camera 2718:44:07
ATM
ATM18:36:48
Parking lot
Parking lot17:01:39
Tellers

Teller queue

13:53:36

Tellers13:53:36
Cash reconciliation
Cash reconciliation11:14:37

Demonstration · Generated scenes drawn by the product overlay. Event labels are actual detections of the dedicated model; unlabeled scenes show the detector alone until the final campaign cut lands.

What gets enabled

Scope

Scope is agreed per camera and per scene. Roadmap functions are evaluated separately before committing to their use.

Capabilities · analytics
  • People, vehicles and objectsIncluded
  • Areas of interestIncluded
  • Movement in an areaCalibrated
  • Line crossingIncluded
  • Counting and occupancyIncluded
  • Area intrusionIncluded
  • Dwell time and loiteringIncluded
  • Queues and serviceCalibrated
  • HeatmapsIncluded
  • Plate readingIncluded
  • Returning platesIncluded
  • Plate watch alertsIncluded
  • Identities and watchlistsCalibrated
  • Site visitsCalibrated
  • Person attributesOptional
  • Identified staffCalibrated
  • Abandoned objectCalibrated
  • Person on the groundCalibrated
  • Raised handsCalibrated
  • Visible fire and smokeCalibrated
  • Covered faceCalibrated
  • Visible weaponCalibrated
  • Possible gunshot signsCalibrated
  • Possible camera tamperingCalibrated
  • Activity changesCalibrated
  • Raised vehicle hoodRoadmap
  • Visit conversionRoadmap
  • Acoustic alertsCalibrated
First, the camera
We review angle, lighting and the visible size of people or objects using video from the site.
Then, the rule
We define areas, times and owners with your team; specialized models are calibrated for the scene.
Finally, the criteria
A shadow-mode period gathers cases for human review before operational responses are enabled.

Before expanding

Observe first. Enable next.

Shadow mode first
Observe events with your team before enabling operational actions.
Human review
Visual signs arrive with context for a person to confirm or dismiss the event.
Validation at your site
We publish no accuracy figures; the pilot defines criteria and reviews cases from your cameras.

A pilot at your site

Test analytics on your cameras, rather than ours.

Choose a scene and review criteria. The pilot shows what can be observed under your site’s real conditions.